Abstract
Motion planning for robotic manipulators relies on precise knowledge of the
environment in order to be able to define restricted areas and to take collision objects into account. To capture the workspace, point clouds of the environment are acquired using various sensors. The collision objects are identified by region growing segmentation and VCCS algorithm. Subsequently the point clusters are approximated. The aim of the present paper is to compare different sensors, to illustrate the process from detection to the finished collision environment and to detect collisions between the robot and this environment.
| Original language | English |
|---|---|
| Title of host publication | AIRoV – The First Austrian Symposium on AI, Robotics, and Vision, 25.–27.3.2024, Innsbruck |
| Editors | Innsbruck University Press |
| Number of pages | 8 |
| Publication status | Published - Mar 2024 |
Fields of science
- 203015 Mechatronics
- 203022 Technical mechanics
- 202 Electrical Engineering, Electronics, Information Engineering
- 202035 Robotics
- 203013 Mechanical engineering
JKU Focus areas
- Digital Transformation